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Volumn , Issue , 2008, Pages 29-36

Classifying disease outbreak reports using n-grams and semantic features

Author keywords

[No Author keywords available]

Indexed keywords

BAG OF WORDS; CLASSIFICATION ACCURACY; DISEASE OUTBREAKS; EMERGING INFECTIOUS DISEASE; N-GRAMS; ONLINE NEWS; SEMANTIC FEATURES; SEMANTIC TAGGER; TEXT MINING;

EID: 71549120006     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (20)
  • 1
    • 7444237797 scopus 로고    scopus 로고
    • Evaluating the replicability of significance tests for comparing learning algorithms
    • Springer, Berlin
    • R. Bouckaert and E. Frank. 2004. Evaluating the Replicability of Significance Tests for Comparing Learning Algorithms. In Advances in Knowledge Discovery and Data Mining, pages 3-12. Springer, Berlin.
    • (2004) Advances in Knowledge Discovery and Data Mining , pp. 3-12
    • Bouckaert, R.1    Frank, E.2
  • 2
    • 17244380380 scopus 로고    scopus 로고
    • A survey of current work in biomedical text mining
    • A. Cohen and W. Hersh. 2005. A Survey of Current Work in Biomedical Text Mining. Briefings in Bioinformatics, 6(1):57-71.
    • (2005) Briefings in Bioinformatics , vol.6 , Issue.1 , pp. 57-71
    • Cohen, A.1    Hersh, W.2
  • 7
    • 2942731012 scopus 로고    scopus 로고
    • An extensive empirical study of feature selection metrics for text classification
    • George Forman. 2003. An Extensive Empirical Study of Feature Selection Metrics for Text Classification. Journal of Machine Learning Research, 3:1289-1305.
    • (2003) Journal of Machine Learning Research , vol.3 , pp. 1289-1305
    • Forman, G.1
  • 8
    • 0035755250 scopus 로고    scopus 로고
    • Hot spots in a wired world: Who surveillance of emerging and re-emerging infectious diseases
    • WHO
    • D. Heymann, G. Rodier, and WHO. 2001. Hot spots in a wired world: WHO surveillance of emerging and re-emerging infectious diseases. The Lancet, 1(5):345-353.
    • (2001) The Lancet , vol.1 , Issue.5 , pp. 345-353
    • Heymann, D.1    Rodier, G.2
  • 10
    • 0004109771 scopus 로고
    • Ph.D. thesis, Department of Computer Science, University of Massachusetts, Amherst, US
    • David D. Lewis. 1992. Representation and Learning in Information Retrieval. Ph.D. thesis, Department of Computer Science, University of Massachusetts, Amherst, US.
    • (1992) Representation and Learning in Information Retrieval
    • Lewis, D.D.1
  • 12
    • 0004255908 scopus 로고    scopus 로고
    • McGraw-Hill International, Singapore
    • Tom Mitchell. 1997. Machine Learning. McGraw-Hill International, Singapore.
    • (1997) Machine Learning
    • Mitchell, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.